A company is providing read access to objects in an Amazon S3 bucket for different customers The company uses 1AM permissions to restnd access to the S3 bucket The customers can access only their own files Due to a regulation requirement the company needs to enforce encryption in transit for interactions with Amazon S3 Which solution will meet these requirements'?

• A.Add a bucket policy to the S3 bucket to deny S3 actions when the s3 x-amz-aci condition is equal to public-read
• B.Add a bucket policy to the S3 bucket to deny S3 actions when the aws SecureTransport condition is equal to false
• C.Add an IAM policy to the IAM users that allows S3 actions when the s3 x-arnz-acl condition is equal to bucket-owner-read
• D.Add an IAM policy to the IAM users to enforce the usage of the AWS SDK

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Given the following AWS CloudFormation template:

What is the MOST efficient way to reference the new Amazon S3 bucket from another AWS CloudFormation template?

• A.Create a custom AWS CloudFormation resource that gets the bucket name from the ContentBucket resource of the first stack.
• B.Use Fn: : Include to include the existing template in other template and use the ContentBucket resource directly
• C.Add Exported: True to the ContentBucket in the original template and use ImportResource in other templates.
• D.Add an Export declaration to the outputs section of the original template and use ImportValue in other templates.

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A company is developing a serverless ecommerce web application The application needs to make coordinated, all-or-nothing changes to multiple items in the company's inventory table in Amazon DynamoDB.
Which solution will meet these requirements?

• A.Enable transactions for the DynamoDB table Use the BatchWriteltem operation to update the items.
• B.Use the TransactWriteitem operation to group the changes Update the items in the table
• C.Set up a FIFO queue using Amazon SQS. Group the changes in the queue. Update the table based on the grouped changes
• D.Create a transaction table in an Amazon Aurora DB cluster to manage the transactions Write a backend process to sync the Aurora DB table and the DynamoDB table

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A company has multiple Developers located across the globe who are updating code incrementally for a development project. When Developers upload code concurrently, internet connectivity is slow and it is taking a long time to upload code for deployment in AWS Elastic Beanstalk.
Which step will result in minimized upload and deployment time with the LEAST amount of administrative effort?

• A.Allow the Developers to upload the code to a central FTP server to deploy the application to Elastic Beanstalk.
• B.Create an AWS CodeCommit repository, allow the Developers to commit code to it, and then directly deploy the code to Elastic Beanstalk.
• C.Create a code repository on an Amazon EC2 instance so that all Developers can update the code, and deploy the application from the instance to Elastic Beanstalk.
• D.Allow the Developers to upload the code to an Amazon S3 bucket, and deploy it directly to Elastic Beanstalk.

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An on-premises legacy application is caching data files locally and writing shared images to local disks.
What is necessary to allow for horizontal scaling when migrating the application to AWS?

• A.Modify the application to read and write cache data on Amazon S3, and also store shared images on S3.
• B.Modify the application to read and write cache data on Amazon S3, while continuing to write shared images to local disks.
• C.Modify the application to have both shared images and caching data written to Amazon EBS.
• D.Modify the application to use Amazon S3 for serving shared images; cache data can then be written to local disks.

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